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Q: Can standard deviation value be bigger than maximum and minimum value?

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The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.

You can find regulations about clothing sizes in the EN 13402 standard, and a series of physical measurements in the SIRI-dataset. Reading the standard, I see that t-shirt sizes (men), for example, are mainly based on chest circumferences. Size 'M' is suitable for chest circumferences between 94 and 102 cm. Size S is 8 cm smaller, size L is 8 cm bigger, XL is 16 cm bigger and XS is 16 cm smaller than size M. When I calculate the median and standard deviation of all the chest circumferences (adult males) I find in the SIRI-dataset, I find a median of 99.6 cm, and - surprise - a standard deviation of 8.4 cm. So, I tend to believe that clothing sizes follow, in some way, the normal distribution. Size M refers to the median size, and the intervals between the size codes have about the same value as the standard deviation. So, size S is one standard deviation smaller than size M, and XL is two standard deviations bigger than size M. If haven't checked other types of clothes and other physical sizes, so I cannot guarantee that my conclusion is correct for any type of garment.

A town lot is not a standard measure!A town lot is not a standard measure of area. So some town lots are bigger than others and therefore there will be fewer such lots in an acre.

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The baby because "it is a little Bigger" -- (a little bigger).

Related questions

Yes it does. The center, which is the mean, affects the standard deviation in a potisive way. The higher the mean is, the bigger the standard deviation.

The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.

Standard error A statistical measure of the dispersion of a set of values. The standard error provides an estimation of the extent to which the mean of a given set of scores drawn from a sample differs from the true mean score of the whole population. It should be applied only to interval-level measures. Standard deviation A measure of the dispersion of a set of data from its mean. The more spread apart the data is, the higher the deviation,is defined as follows: Standard error x sqrt(n) = Standard deviation Which means that Std Dev is bigger than Std err Also, Std Dev refers to a bigger sample, while Std err refers to a smaller sample

A rugby pitch shall be no longer than 100 meters by 70 meters wide A Gaelic football pitch is Length - 130m minimum and 145 maximum Width - 80m minimum and 90 maximum

As there is no standard minimum or maximum size for either tanks or monster trucks, it is impossible to tell with any degree of certainty which is bigger. However, of the two, tanks are specifically designed for dealing out far greater destruction, and due to their armor are often far heavier than any monster truck could possibly be.

It needs to be atleast a minimum of 7.5 square feet and a maximum (I wouldn't go any bigger) of 10.5 square feet.

The simplest is Euclid's method : Start with 45, 60 minimum is 45 : subtract minimum from bigger number(s): 45, 15 minimum is 15 : subtract minimum from bigger number(s): 30, 15 minimum is 15 : subtract minimum from bigger number(s): 15, 15 minimum is 15 , maximum is also 15 so GCF is 15.

in pure mathematical sense -2 is bigger than -5

You can find regulations about clothing sizes in the EN 13402 standard, and a series of physical measurements in the SIRI-dataset. Reading the standard, I see that t-shirt sizes (men), for example, are mainly based on chest circumferences. Size 'M' is suitable for chest circumferences between 94 and 102 cm. Size S is 8 cm smaller, size L is 8 cm bigger, XL is 16 cm bigger and XS is 16 cm smaller than size M. When I calculate the median and standard deviation of all the chest circumferences (adult males) I find in the SIRI-dataset, I find a median of 99.6 cm, and - surprise - a standard deviation of 8.4 cm. So, I tend to believe that clothing sizes follow, in some way, the normal distribution. Size M refers to the median size, and the intervals between the size codes have about the same value as the standard deviation. So, size S is one standard deviation smaller than size M, and XL is two standard deviations bigger than size M. If haven't checked other types of clothes and other physical sizes, so I cannot guarantee that my conclusion is correct for any type of garment.

No, a standard baseball is smaller than a standard softball.

Range = maximum - minimum Interquartile range = Value of 75th percentile - value of 25th percentile. The 75th percentile is the value such that 25% of the observations are bigger and 75% are smaller.

A type of orange. Usally they are bigger then your standard orange.

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